Paper Citation Record · LEDGER

LegalRAG: A Hybrid RAG System for Multilingual Legal Information Retrieval

As of 17 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 1 inbound Pith citation observation for arXiv:2504.16121.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2504.16121 v1

Coverage vector

measured 37 of 37 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:58:22.060959Z

measured 38 of 38 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-26T17:36:30.486056Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-04T03:49:30.561226Z

Reference resolution

37 of 37 outbound references displayed

verified exact1
verified fuzzy23
unresolved13
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 068502ec-4231-4cf9-898f-27a4a96053dd · outbound

This paper cites Natural language processing,.

LegalRAG: A Hybrid RAG System for Multilingual Legal Information Retrieval Natural language processing,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-16T11:58:21.136630Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 72b10286-b0df-470b-948f-4bc116875df4 · outbound

This paper cites Optical character recognition by open source ocr tool tesseract: A case study,.

LegalRAG: A Hybrid RAG System for Multilingual Legal Information Retrieval Optical character recognition by open source ocr tool tesseract: A case study,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:58:24.458663Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 8673ea27-bc87-4cd0-bd04-60f3a86e473f · outbound

This paper cites Development of rag system for digital transformation of local government and considering optimal document-segmentation methods,.

LegalRAG: A Hybrid RAG System for Multilingual Legal Information Retrieval Development of rag system for digital transformation of local government and considering optimal document-segmentation methods,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:58:24.346108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation f4284a9f-9ddb-4960-b3a0-30b233b47f1d · outbound

This paper cites Nlp-based automated compliance checking of data processing agreements against gdpr,.

LegalRAG: A Hybrid RAG System for Multilingual Legal Information Retrieval Nlp-based automated compliance checking of data processing agreements against gdpr,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:58:24.251951Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation f6e42c94-f319-482c-8411-c72d4dcee653 · outbound

This paper cites Optical character recognition by open source ocr tool tesseract: A case study,.

LegalRAG: A Hybrid RAG System for Multilingual Legal Information Retrieval Optical character recognition by open source ocr tool tesseract: A case study,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:58:24.184746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation d2bbd6e7-62a3-4232-9057-13cd0cfd6e57 · outbound

This paper cites Chatgpt: Unlocking the future of nlp in finance,.

LegalRAG: A Hybrid RAG System for Multilingual Legal Information Retrieval Chatgpt: Unlocking the future of nlp in finance,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:58:24.161814Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation f46315e4-6652-4f04-9f06-29ada952486d · outbound

This paper cites Retrieval- augmented generation for knowledge-intensive nlp tasks,.

LegalRAG: A Hybrid RAG System for Multilingual Legal Information Retrieval Retrieval- augmented generation for knowledge-intensive nlp tasks,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-16T11:58:21.227341Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 60c0db37-0dc5-4490-a47e-f1763442edf6 · outbound

This paper cites Natural Language Processing in the Legal Domain.

LegalRAG: A Hybrid RAG System for Multilingual Legal Information Retrieval Natural Language Processing in the Legal Domain

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-16T11:58:21.315762Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 36131d4b-b39d-4cca-82f2-b47aed64e5ae · outbound

This paper cites How does NLP benefit legal system: A summary of legal artificial intelligence,.

LegalRAG: A Hybrid RAG System for Multilingual Legal Information Retrieval How does NLP benefit legal system: A summary of legal artificial intelligence,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:58:24.055981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 28df81a9-5c9b-4da1-b24c-9963307c7180 · outbound

This paper cites Document analysis,.

LegalRAG: A Hybrid RAG System for Multilingual Legal Information Retrieval Document analysis,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:58:23.950879Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation c3f2ef08-df72-4936-8733-9481a77224e2 · outbound

This paper cites Information retrieval: recent advances and beyond,.

LegalRAG: A Hybrid RAG System for Multilingual Legal Information Retrieval Information retrieval: recent advances and beyond,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:58:23.870301Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 81590bc1-ea9c-483d-82d1-eb62d66fe383 · outbound

This paper cites LexDrafter: Terminology drafting for legislative documents using retrieval augmented generation,.

LegalRAG: A Hybrid RAG System for Multilingual Legal Information Retrieval LexDrafter: Terminology drafting for legislative documents using retrieval augmented generation,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:58:23.782568Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation a0339942-541d-4b5a-aaed-78f4857b4ade · outbound

This paper cites LegalBench-RAG: A Benchmark for Retrieval-Augmented Generation in the Legal Domain.

LegalRAG: A Hybrid RAG System for Multilingual Legal Information Retrieval LegalBench-RAG: A Benchmark for Retrieval-Augmented Generation in the Legal Domain

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-16T11:58:21.538209Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c7ad5e95-377b-4b91-b75c-d1f5c596bd3b · outbound

This paper cites Benchmarking large language models in retrieval-augmented generation,.

LegalRAG: A Hybrid RAG System for Multilingual Legal Information Retrieval Benchmarking large language models in retrieval-augmented generation,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-16T11:58:21.601290Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f941bf2a-c420-443b-aa8b-c658c8dc85e9 · outbound

This paper cites Retrieval-augmented generation in multilingual settings.

LegalRAG: A Hybrid RAG System for Multilingual Legal Information Retrieval Retrieval-augmented generation in multilingual settings

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-08-16T11:58:22.262089Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation d58fe09e-4832-4c1c-bf58-baef93db0be2 · outbound

This paper cites Crosslingual retrieval augmented in-context learning for Bangla,.

LegalRAG: A Hybrid RAG System for Multilingual Legal Information Retrieval Crosslingual retrieval augmented in-context learning for Bangla,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:58:23.688196Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 4a02e612-58ee-4c8c-9d22-3551891a112b · outbound

This paper cites The Llama 3 Herd of Models.

LegalRAG: A Hybrid RAG System for Multilingual Legal Information Retrieval The Llama 3 Herd of Models

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-16T11:58:21.615679Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a6e734cd-3627-4e67-adf5-2e0f45c343a3 · outbound

This paper cites GPT-4 Technical Report.

LegalRAG: A Hybrid RAG System for Multilingual Legal Information Retrieval GPT-4 Technical Report

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-16T11:58:21.620563Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e4e6dac2-dda2-47c5-bd4e-e493d8349957 · outbound

This paper cites Self-RAG: Learning to retrieve, generate, and critique through self-reflection,.

LegalRAG: A Hybrid RAG System for Multilingual Legal Information Retrieval Self-RAG: Learning to retrieve, generate, and critique through self-reflection,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:58:23.672934Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 590c854a-21d8-490e-b72f-57cf39990302 · outbound

This paper cites Making retrieval- augmented language models robust to irrelevant context,.

LegalRAG: A Hybrid RAG System for Multilingual Legal Information Retrieval Making retrieval- augmented language models robust to irrelevant context,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:58:23.575600Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation dee1849e-95a2-45d8-9361-ace58d8406ff · outbound

This paper cites Optimizing Query Generation for Enhanced Document Retrieval in RAG.

LegalRAG: A Hybrid RAG System for Multilingual Legal Information Retrieval Optimizing Query Generation for Enhanced Document Retrieval in RAG

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-16T11:58:21.750180Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c9a61c61-cb83-4335-9604-f0ba3c565b7d · outbound

This paper cites Blended RAG: Improving RAG (Retriever-Augmented Generation) Accuracy with Semantic Search and Hybrid Query-Based Retrievers.

LegalRAG: A Hybrid RAG System for Multilingual Legal Information Retrieval Blended RAG: Improving RAG (Retriever-Augmented Generation) Accuracy with Semantic Search and Hybrid Query-Based Retrievers

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-16T11:58:21.755527Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a9e230e5-dd48-49bc-b8ba-eb87ede5c601 · outbound

This paper cites GPT-4o System Card.

LegalRAG: A Hybrid RAG System for Multilingual Legal Information Retrieval GPT-4o System Card

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-16T11:58:21.760676Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9aa8b6de-f9ee-4b39-8db9-abd8f60c4b7f · outbound

This paper cites Retrieval augmentation reduces hallucination in conversation,.

LegalRAG: A Hybrid RAG System for Multilingual Legal Information Retrieval Retrieval augmentation reduces hallucination in conversation,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:58:23.411737Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 2a59e47d-88c9-4435-94fc-1400fa55d8d2 · outbound

This paper cites Reducing hallucination in structured outputs via retrieval-augmented generation,.

LegalRAG: A Hybrid RAG System for Multilingual Legal Information Retrieval Reducing hallucination in structured outputs via retrieval-augmented generation,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:58:23.372123Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 4d817721-2120-4165-94bf-5ee2bb509b77 · outbound

This paper cites Mixtral of Experts.

LegalRAG: A Hybrid RAG System for Multilingual Legal Information Retrieval Mixtral of Experts

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-16T11:58:21.776410Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a080d458-198a-43d3-96f0-29c3124934ba · outbound

This paper cites Gemma 2: Improving Open Language Models at a Practical Size.

LegalRAG: A Hybrid RAG System for Multilingual Legal Information Retrieval Gemma 2: Improving Open Language Models at a Practical Size

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-16T11:58:21.780381Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 475cf741-1a29-43af-b6d1-11793b4f4fad · outbound

This paper cites Bge m3-embedding: Multi-lingual, multi-functionality, multi-granularity text embeddings through self-knowledge distillation,.

LegalRAG: A Hybrid RAG System for Multilingual Legal Information Retrieval Bge m3-embedding: Multi-lingual, multi-functionality, multi-granularity text embeddings through self-knowledge distillation,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:58:23.280745Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 581a689a-07f9-4890-b49d-ff07b0bff74f · outbound

This paper cites An overview of the tesseract ocr engine,.

LegalRAG: A Hybrid RAG System for Multilingual Legal Information Retrieval An overview of the tesseract ocr engine,

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-16T11:58:21.946775Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 32634f6f-9563-452a-b8af-a36d6ee67387 · outbound

This paper cites QLoRA: Efficient finetuning of quantized LLMs,.

LegalRAG: A Hybrid RAG System for Multilingual Legal Information Retrieval QLoRA: Efficient finetuning of quantized LLMs,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:58:23.215861Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 67d4f76e-f69d-4e79-a6e1-38757a069686 · outbound

This paper cites The effect of sampling temperature on problem solving in large language models,.

LegalRAG: A Hybrid RAG System for Multilingual Legal Information Retrieval The effect of sampling temperature on problem solving in large language models,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:58:23.067513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 32838f84-1806-4a02-92e9-1460e1e5ccbc · outbound

This paper cites Harnessing legal complex- ity,.

LegalRAG: A Hybrid RAG System for Multilingual Legal Information Retrieval Harnessing legal complex- ity,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:58:22.902416Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 8486f9a9-3312-433a-80ad-59f50e1650e9 · outbound

This paper cites Harnessing the complexity of legal systems for governing global challenges,.

LegalRAG: A Hybrid RAG System for Multilingual Legal Information Retrieval Harnessing the complexity of legal systems for governing global challenges,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:58:22.736330Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 311367db-3e1f-4aac-89ee-58488c27da70 · outbound

This paper cites Computational methods in legal analysis,.

LegalRAG: A Hybrid RAG System for Multilingual Legal Information Retrieval Computational methods in legal analysis,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:58:22.640576Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 72db235a-cecc-43bd-be38-2ac62d8c0624 · outbound

This paper cites On the concept of relevance in legal information retrieval,.

LegalRAG: A Hybrid RAG System for Multilingual Legal Information Retrieval On the concept of relevance in legal information retrieval,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:58:22.598884Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 728c7507-f6bf-4756-8315-46b62476d5f8 · outbound

This paper cites Legal information retrieval systems: State- of-the-art and open issues,.

LegalRAG: A Hybrid RAG System for Multilingual Legal Information Retrieval Legal information retrieval systems: State- of-the-art and open issues,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:58:22.501748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 8ec22c84-1493-4840-92c9-8767ff4620ab · outbound

This paper cites Legal information retrieval for understand- ing statutory terms,.

LegalRAG: A Hybrid RAG System for Multilingual Legal Information Retrieval Legal information retrieval for understand- ing statutory terms,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:58:22.410015Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Pith citing papers

Observation 36ec68b5-8359-4ed6-bbd2-7427f7edbcb7 · inbound

Train, Retrieve, or Both? A Four-Arm Head-to-Head for Correct Statutory Citation on the Ontario Residential Tenancies Act cites this paper.

Train, Retrieve, or Both? A Four-Arm Head-to-Head for Correct Statutory Citation on the Ontario Residential Tenancies Act LegalRAG: A Hybrid RAG System for Multilingual Legal Information Retrieval

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-07-04T03:49:30.563619Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.